Phillip A. Dumesic

1.6k total citations
28 papers, 1.1k citations indexed

About

Phillip A. Dumesic is a scholar working on Molecular Biology, Physiology and Plant Science. According to data from OpenAlex, Phillip A. Dumesic has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Physiology and 7 papers in Plant Science. Recurrent topics in Phillip A. Dumesic's work include Adipose Tissue and Metabolism (7 papers), Melanoma and MAPK Pathways (5 papers) and Plant Disease Resistance and Genetics (5 papers). Phillip A. Dumesic is often cited by papers focused on Adipose Tissue and Metabolism (7 papers), Melanoma and MAPK Pathways (5 papers) and Plant Disease Resistance and Genetics (5 papers). Phillip A. Dumesic collaborates with scholars based in United States, Canada and France. Phillip A. Dumesic's co-authors include Florence A. Scholl, Paul A. Khavari, Hiten D. Madhani, Deborah I. Barragan, Jean Charron, John R. Yates, Kazutoshi Harada, Bruce M. Spiegelman, James J. Moresco and Vickram Bissonauth and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Phillip A. Dumesic

27 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Phillip A. Dumesic United States 18 749 217 163 136 135 28 1.1k
Nayden G. Naydenov United States 21 529 0.7× 126 0.6× 275 1.7× 78 0.6× 101 0.7× 39 1.0k
Tram Anh T. Tran United States 12 713 1.0× 73 0.3× 115 0.7× 220 1.6× 115 0.9× 17 1.0k
Naoyuki Hayashi Japan 25 1.5k 2.0× 140 0.6× 230 1.4× 148 1.1× 127 0.9× 62 1.9k
Sonia Castillo‐Lluva Spain 16 656 0.9× 169 0.8× 233 1.4× 65 0.5× 31 0.2× 29 855
Sandra Beer Germany 17 473 0.6× 156 0.7× 173 1.1× 201 1.5× 68 0.5× 24 1.1k
Ishita Chatterjee United States 20 717 1.0× 97 0.4× 53 0.3× 96 0.7× 94 0.7× 43 1.2k
Shirley Qiu United States 15 602 0.8× 171 0.8× 241 1.5× 110 0.8× 23 0.2× 22 894
Insa Buers Germany 18 666 0.9× 69 0.3× 152 0.9× 87 0.6× 152 1.1× 28 1.2k
Geneviève Fourel France 19 1.2k 1.6× 244 1.1× 70 0.4× 311 2.3× 112 0.8× 32 1.6k
Yang Su China 16 343 0.5× 86 0.4× 147 0.9× 95 0.7× 49 0.4× 28 750

Countries citing papers authored by Phillip A. Dumesic

Since Specialization
Citations

This map shows the geographic impact of Phillip A. Dumesic's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Phillip A. Dumesic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip A. Dumesic more than expected).

Fields of papers citing papers by Phillip A. Dumesic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip A. Dumesic. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Phillip A. Dumesic. The network helps show where Phillip A. Dumesic may publish in the future.

Co-authorship network of co-authors of Phillip A. Dumesic

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip A. Dumesic. A scholar is included among the top collaborators of Phillip A. Dumesic based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Phillip A. Dumesic. Phillip A. Dumesic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dumesic, Phillip A., et al.. (2025). RBM43 controls PGC1α translation and a PGC1α-STING signaling axis. Cell Metabolism. 37(3). 742–757.e8. 2 indexed citations
2.
Abbott, David H., Jon E. Levine, Phillip A. Dumesic, Vasantha Padmanabhan, & Daniel A. Dumesic. (2025). POLYCYSTIC OVARY SYNDROME: ORIGINS AND IMPLICATIONS: Gestational anti-Müllerian hormone and testosterone excess combined with maternal adiposity program for polycystic ovary syndrome. Reproduction. 170(2). 1 indexed citations
3.
López, Juan Antonio, Phillip A. Dumesic, Elena M. Rodríguez Rodríguez, et al.. (2024). p38α kinase governs muscle strength through PGC1α in mice. Acta Physiologica. 240(11). e14234–e14234. 1 indexed citations
4.
Vargas‐Castillo, Ariana, Yizhi Sun, Phillip A. Dumesic, et al.. (2024). Development of a functional beige fat cell line uncovers independent subclasses of cells expressing UCP1 and the futile creatine cycle. Cell Metabolism. 36(9). 2146–2155.e5. 13 indexed citations
5.
Dumesic, Phillip A., Yanhui Hu, Patrick Jouandin, et al.. (2023). REPTOR and CREBRF encode key regulators of muscle energy metabolism. Nature Communications. 14(1). 4943–4943. 9 indexed citations
6.
Mittenbühler, Melanie J., Mark P. Jedrychowski, Jonathan G. Van Vranken, et al.. (2023). Isolation of extracellular fluids reveals novel secreted bioactive proteins from muscle and fat tissues. Cell Metabolism. 35(3). 535–549.e7. 28 indexed citations
7.
Jannig, Paulo R., Phillip A. Dumesic, Bruce M. Spiegelman, & Jorge L. Ruas. (2022). SnapShot: Regulation and biology of PGC-1α. Cell. 185(8). 1444–1444.e1. 55 indexed citations
8.
Sun, Yizhi, Janane F. Rahbani, Mark P. Jedrychowski, et al.. (2021). Mitochondrial TNAP controls thermogenesis by hydrolysis of phosphocreatine. Nature. 593(7860). 580–585. 78 indexed citations
9.
Catania, Sandra, Phillip A. Dumesic, Harold Pimentel, et al.. (2020). Evolutionary Persistence of DNA Methylation for Millions of Years after Ancient Loss of a De Novo Methyltransferase. Cell. 180(2). 263–277.e20. 82 indexed citations
10.
11.
Dumesic, Phillip A., Magnus Alm Rosenblad, Tore Samuelsson, et al.. (2015). Noncanoncial signal recognition particle RNAs in a major eukaryotic phylum revealed by purification of SRP from the human pathogenCryptococcus neoformans. Nucleic Acids Research. 43(18). 9017–9027. 6 indexed citations
12.
Dumesic, Phillip A., Christina M. Homer, James J. Moresco, et al.. (2014). Product Binding Enforces the Genomic Specificity of a Yeast Polycomb Repressive Complex. Cell. 160(1-2). 204–218. 96 indexed citations
13.
Dumesic, Phillip A. & Hiten D. Madhani. (2013). The spliceosome as a transposon sensor. RNA Biology. 10(11). 1653–1660. 10 indexed citations
14.
Dumesic, Phillip A. & Hiten D. Madhani. (2013). Recognizing the enemy within: licensing RNA-guided genome defense. Trends in Biochemical Sciences. 39(1). 25–34. 25 indexed citations
15.
Dumesic, Phillip A., Changbin Chen, Ines A. Drinnenberg, et al.. (2013). Stalled Spliceosomes Are a Signal for RNAi-Mediated Genome Defense. Cell. 152(5). 957–968. 131 indexed citations
16.
Rougemaille, Mathieu, Sigurd Braun, Scott M. Coyle, et al.. (2012). Ers1 links HP1 to RNAi. Proceedings of the National Academy of Sciences. 109(28). 11258–11263. 26 indexed citations
17.
Dumesic, Phillip A., Florence A. Scholl, Deborah I. Barragan, & Paul A. Khavari. (2009). Erk1/2 MAP kinases are required for epidermal G2/M progression. The Journal of Cell Biology. 185(3). 409–422. 80 indexed citations
18.
Scholl, Florence A., Phillip A. Dumesic, Deborah I. Barragan, et al.. (2007). Mek1/2 MAPK Kinases Are Essential for Mammalian Development, Homeostasis, and Raf-Induced Hyperplasia. Developmental Cell. 12(4). 615–629. 121 indexed citations
19.
Scholl, Florence A., Phillip A. Dumesic, & Paul A. Khavari. (2004). Mek1 Alters Epidermal Growth and Differentiation. Cancer Research. 64(17). 6035–6040. 67 indexed citations
20.
Walker, David, Diane G. Hammitt, Phillip A. Dumesic, & Alan R. Thornhill. (2003). Equivalent blastocyst rates after freezing murine embryos in Cryo Bio System high security or standard instruments-medicine-veterinarian straws. Fertility and Sterility. 80. 743–746. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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